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In AI MAGAZINE (2001), pp. 27-37 Key: citeulike:10604928
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The belief that humans will be able to interact with computers in conversational speech has long been a favorite subject in science fiction. This reflects the persistent belief that spoken dialogue would be the most natural and powerful user interface to computers. With recent improvements in computer technology and in speech and language processing, such systems are starting to appear feasible. There are significant technical problems that still need to be solved before speech-driven interfaces become truly conversational. This paper describes the results of a ten-year effort building robust spoken dialogue systems at the University of Rochester.
TRIPS is at the high end of dialog management: planning-based and agent-based DM.
There are several problem-solving agents, each with planning and reasoning abilities.
The agents collaborate with the human to solve a problem (it's a collaborative, practical dialog).
The NLU is a best-first bottom-up chart parser, with semantic information. Its output is a sequence of speech-acts, such as "(ASSERT (:ID SA11 :SPEAKER USER :HEARER SYS :CONTENT (NEED...)))"
There are several DM components:
Reference manager - Given a word (e.g. "the woman"), decide what object in the world it refers to (e.g. "WOM1234").
Task manager - Identify the problem-solving acts that the user tries to achieve (create new objective, extend an existing objective, etc.).
Interpretation manager - in addition to calling the first two, also identify discourse obligations, for example: "respond to the latest question".
Behavioral manager - connects with several agents to achieve the goal set by the user. The agents use problem-specific planning algorithms.
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